RAG & Vector Search · Established · Intermediate
Hybrid Vector Keyword Search
Also known as: Hybrid Search, Dense-Sparse Search
Search architecture that combines dense vector embeddings with sparse BM25 keyword matching using reciprocal rank fusion.
What Hybrid Vector Keyword Search is
Hybrid Vector Keyword Search bridges the gap between semantic understanding and exact keyword matching (e.g., part numbers, names).
How it works
Runs parallel vector index queries and BM25 inverted index lookups, merging candidate ranks with weighted scoring.
Why it matters
Standard pattern in production vector databases for mission-critical enterprise search.
Common uses
- →E-commerce product search
- →Technical documentation retrieval
- →Enterprise knowledge management
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